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Downscaling MODIS images with area-to-point regression kriging

Remote Sensing of Environment, 2015
Abstract The first seven bands of the Moderate Resolution Imaging Spectroradiometer (MODIS) data have been used widely for global land-cover/land-use (LCLU) monitoring (e.g., deforestation over the Amazon basin). However, the spatial resolution of MODIS bands 3–7 (i.e., 500 m) is coarser than that of bands 1 and 2 (i.e., 250 m), and may be too coarse
Wang, Qunming   +3 more
openaire   +1 more source

Optimally Weighted Cluster Kriging for Big Data Regression

2015
In business and academia we are continuously trying to model and analyze complex processes in order to gain insight and optimize. One of the most popular modeling algorithms is Kriging, or Gaussian Processes. A major bottleneck with Kriging is the amount of processing time of at least \(O(n^3)\) and memory required \(O(n^2)\) when applying this ...
Bas van Stein   +4 more
openaire   +1 more source

Population‐density estimation using regression and area‐to‐point residual kriging

International Journal of Geographical Information Science, 2008
Census population data are associated with several analytical and cartographic problems. Regression models using remote-sensing covariates have been examined to estimate urban population density, but the performance may not be satisfactory. This paper describes a kriging-based areal interpolation method, namely area-to-point residual kriging, which can
Liu, X. H.   +2 more
openaire   +2 more sources

Spatial Regression Analysis vs. Kriging Methods for Spatial Estimation

International Advances in Economic Research, 2008
Due to the rapid development of Geographic Information Systems (GIS) in recent years, spatial data analysis has received considerable attention and played an important role in social science. Although many standard statistical techniques are attractive in traditional data analysis, they cannot be implemented uncritically for spatial data.
openaire   +1 more source

Integrative oncology: Addressing the global challenges of cancer prevention and treatment

Ca-A Cancer Journal for Clinicians, 2022
Jun J Mao,, Msce   +2 more
exaly  

Multi-fidelity Modeling via Regression-Based Hierarchical Kriging

2022
Sunwoong Yang, Yu-Eop Kang, Kwanjung Yee
openaire   +1 more source

Penggunaan Geographically Weighted Regression-Kriging untuk Klasifikasi Desa Tertinggal

Seminar Nasional Aplikasi Teknologi Informasi (SNATI), 2009
Rata-rata pengeluaran rumah tangga per kapita sebagai salah satu indikator utama pengukuran kemiskinansering dimodelkan sebagai fungsi regresi secara global. Artinya nilai koefisien regresi yang sama diaplikasikanpada seluruh lokasi geografis. Padahal asumsi ini tidak selalu valid karena perbedaan lokasi sangat mungkinmenghasilkan prediksi model yang ...
openaire   +1 more source

Obesity and adverse breast cancer risk and outcome: Mechanistic insights and strategies for intervention

Ca-A Cancer Journal for Clinicians, 2017
Cynthia Morata-Tarifa   +1 more
exaly  

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